Funnel Analysis

Definition

Funnel Analysis examines the step-by-step progression from app store impression to install, identifying where potential users drop off. The typical ASO funnel is Impression → Tap → Install (Apple) or Impression → Page View → Install (Google). Analyzing drop-off rates at each stage reveals which ASO element (visibility, appeal, or friction) most constrains growth.

How It Works

Apple App Store

Apple's ASO funnel: Impression (search result page view) → Tap (tap on app listing) → Install. App Store Connect reports impressions and taps separately, enabling TTR calculation. Taps-to-install conversion happens outside the app store (download + install in App Library). First-time open occurs after install. Funnel stages: visibility (impression), appeal (tap), friction (install).

Google Play Store

Google's funnel: Impression → Page View (user views full app product page) → Install. Page view is intermediate; not every impression leads to page view. Page View → Install conversion (similar to Apple's tap → install) represents product page persuasiveness. Funnel identification: visibility (impression), interest (page view), decision (install).

Amazon Appstore

Similar to Google: Impression → Page View → Install.

Formulas & Metrics

Funnel Conversion Rates:

Stage 1 - Visibility to Tap (TTR):

TTR = (Taps / Impressions) × 100

Benchmark: 5–15% for search

Stage 2 - Tap to Install (Install Conversion Rate):

Install_CVR = (Installs / Taps) × 100

Benchmark: 30–50%

Stage 3 - Impression to Install (Overall CVR):

Overall_CVR = (Installs / Impressions) × 100

= TTR × Install_CVR

Example Calculation:

• 100,000 impressions
• 8% TTR = 8,000 taps
• 40% install CVR = 3,200 installs
• Overall CVR: 3.2%

Drop-Off Analysis:

Drop_off_at_Tap = 100% - TTR

Drop_off_at_Install = 100% - Install_CVR

Total_Drop_off = 100% - Overall_CVR

Best Practices

1. Identify Bottleneck Stage — Calculate drop-off at each stage. Example: If TTR is 3% (low) and Install CVR is 50% (healthy), the problem is visibility/appeal, not product page friction.

1. Test by Traffic Source — Funnel shapes differ by source. Organic search users have different TTR/CVR than paid users. Analyze separately.

1. Monitor Funnel by Version — App Store Connect separates funnel metrics by app version. If a new version degrades TTR, icon/screenshot problem. If Install CVR drops, product experience problem.

1. Benchmark Against Competitors — Use ASO tools to estimate competitor TTR/funnel metrics. Understanding competitive funnel reveals strategic opportunities.

1. Prioritize Highest-Impact Stage — Improving TTR from 4% to 6% (50% lift) may have higher impact than improving Install CVR from 40% to 42% (5% lift). Quantify opportunity size.

1. A/B Test Funnel Stages — A/B test icon/screenshots to improve TTR. A/B test screenshots/preview video on product page to improve Install CVR.

Examples

Example 1: Utility App Funnel

• Daily Impressions: 5,000
• TTR: 6% (typical for utilities)
• Daily Taps: 300
• Install CVR: 35%
• Daily Installs: 105
• Daily Uninstalls: 3 (low friction)
• Analysis: Funnel is healthy; emphasis is on growing impressions (search visibility)

Example 2: Gaming App Funnel Issue

• Daily Impressions: 10,000
• TTR: 4% (below typical 8–12% for games)
• Daily Taps: 400
• Install CVR: 50% (strong)
• Daily Installs: 200
• Issue: TTR bottleneck. Icon/screenshots likely not standing out against competitors.
• Action: Redesign icon and first 3 screenshots; retest TTR

Example 3: Funnel Before/After ASO Change

• Pre-Update:

Impressions: 8,000/day, TTR: 5%, Taps: 400, CVR: 40%, Installs: 160

• Updated metadata (new screenshots, preview video)
• Post-Update:

Impressions: 8,200/day, TTR: 7%, Taps: 574, CVR: 42%, Installs: 241

• Lift: +51% daily installs from same impression volume

Dependencies

Influences

• Conversion Rate — CVR is the net result of funnel performance
• Tap-Through Rate — First funnel stage
• Organic Installs — Direct output of funnel

Depends On

• Impression — Funnel starts with impression
• App Store Optimization (ASO) — Icon, screenshots, metadata drive funnel metrics
• Star Rating — Visible in results; influences TTR decision
• Search Visibility — Impression volume drives funnel volume

Platform Comparison

Related Terms

Conversion Rate, Tap-Through Rate, Organic Installs, Impression, App Store Optimization (ASO), Ranking Factors

Sources & Further Reading

• App Store Connect analytics guide
• Google Play Console conversion tracking guide
• Sensor Tower funnel analysis case studies